Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
ar-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use UsmanAXAI/whisper-medium-ft-custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UsmanAXAI/whisper-medium-ft-custom with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="UsmanAXAI/whisper-medium-ft-custom")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("UsmanAXAI/whisper-medium-ft-custom") model = AutoModelForSpeechSeq2Seq.from_pretrained("UsmanAXAI/whisper-medium-ft-custom", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from UsmanAXAI/whisper-medium-ft-custom: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/UsmanAXAI/whisper-medium-ft-custom/resolve/main/training_args.bin
- Command line
-
hf download hf://UsmanAXAI/whisper-medium-ft-custom/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/UsmanAXAI/whisper-medium-ft-custom/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- ac19c552ba30119febc7e66cd4ec4606ad2d2943de3f112748c814671af01b24
- Size of remote file:
- 4.86 kB
- SHA256:
- 611bcdf7b4d654bf0c32998c19ea378efc1812577c62d60d19df9f29edbb6197
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